In-database processing is performed and promoted as a feature by many of the major data warehousing vendors, including [[Teradata]] (and [[Aster Data Systems]], which it acquired), IBM (with its [[Netezza]], PureData Systems, and [httphttps://www.ibm.com/analytics/usdata-management/en/technology/cloud-data-services/dashdb/warehouse Db2 dashDBWarehouse] products), IEMC [[Greenplum]], [[Sybase]], [[ParAccel]], SAS, and [[EXASOL]]. Some of the products offered by these vendors, such as CWI's [[MonetDB]] or IBM's dashDBDb2 Warehouse, offer users the means to write their own functions (UDFs) or extensions (UDXs) to enhance the products' capabilities.<ref>{{cite web | url = https://www.monetdb.org/content/embedded-r-monetdb | title = Embedded R in MonetDB | date = 22 December 2014}}</ref> [[Fuzzy Logix]] offers libraries of in-database models used for mathematical, statistical, data mining, simulation, and classification modelling, as well as financial models for equity, fixed income, interest rate, and portfolio optimization. [http://in-database.com In-DataBase Pioneers] collaborates with marketing and IT teams to institutionalize data mining and analytic processes inside the data warehouse for fast, reliable, and customizable consumer-behavior and predictive analytics.
